作者
Jinsong Zhang, Mengdao Xing, Guangcai Sun
发表日期
2018/10/10
研讨会论文
2018 China International SAR Symposium (CISS)
页码范围
1-3
出版商
IEEE
简介
Target detection for remote sensing images which contain optical images and radar images has attracted lots of relative researchers. With the development of deep learning, target detection for optical images has been developing towards high accuracy and real-time detection. High resolution optical images reflect geometric features of the object. Unlike optical images, SAR images reflect the electromagnetic characteristics of the target, so the SAR image detection which uses optical image detection algorithm will lead to weak detection performance. This paper studies a fast target detection algorithm for SAR images which fused electromagnetic characteristics and geometric features through support vector machine. The algorithm is based on the Faster R-CNN framework enabling nearly cost-free target detection.
引用总数
学术搜索中的文章
J Zhang, M Xing, G Sun - 2018 China International SAR Symposium (CISS), 2018